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  • 1.
    André, Samuel
    et al.
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Stolt, Roland
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    The design platform – a coherent platform description of heterogeneous design assets for suppliers of highly customised systems2017In: Journal of engineering design (Print), ISSN 0954-4828, E-ISSN 1466-1837, Vol. 28, no 10-12, p. 599-626Article in journal (Refereed)
    Abstract [en]

    Companies developing highly customised products are continuously faced with fluctuating requirements during the early and late stages of the product development (PD) process. This differs from companies that develop end-consumer products, which uses fixed specifications and where product platforms have been a successful enabler for efficient customisation. However, in the past, product platforms have not been able to fully support companies working in an engineer-to-order business environment. This article outlines the results from a three-year collaborative research project between academics within the area of engineering design and practitioners from the engineer-to-order industry. The research introduces a design platform (DP) that aims to support the development of customised products when traditional platform concepts do not suffice. The platform approach provides a coherent environment for heterogeneous design assets to be used in PD by supporting both the design activity and the finished solutions. The needs and abilities regarding such a platform were investigated through a series of interviews and workshops at four companies. Then, the DP was modelled and support tools were developed. Finally, company representatives evaluated the complete DP and its applications, reporting promising results.

  • 2.
    André, Samuel
    et al.
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Stolt, Roland
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Poorkiany, Morteza
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Managing Fluctuating Requirements by Platforms Defined in the Interface Between Technology and Product Development2014In: Advances in Transdisciplinary Engineering: Moving Integrated Product Development to Service Clouds in the Global Economy / [ed] Cha, J., Chou, S.-Y., Stjepandić, J. , Curran, R., Xu, W., Amsterdam: IOS Press, 2014, p. 424-433Conference paper (Refereed)
    Abstract [en]

    Product platforms play an important role for the efficient customisation and variant forming of products in many companies. In this paper four different companies ranging from OEM to B2B suppliers have been interviewed on how they engage in technology and product development, create and maintain product platforms and how they respond to the changing requirements on the platforms and on the products and product families derived from them. The objective is to find how product platforms are used to meet the demands of efficient product customisation. The companies all have identifiable product platforms and established processes for product development. However, there are differences in how they define technology development, how the platforms are created, maintained, replaced and what the platforms contain. The introduction of new technology into the platforms and how the platforms are used from a Lean product development perspective has been of interest in the survey as reported in the paper.

  • 3.
    Elgh, Fredrik
    et al.
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    André, Samuel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Stolt, Roland
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Design Platform - A Coherent Model for Management and Use of Mixed Design Assets2017In: Transdisciplinary Engineering: A Paradigm Shift: Proceedings of the 24th ISPE Inc. International Conference on Transdisciplinary Engineering / [ed] C. H. Chen, A. C. Trappey, M. Peruzzini, J. Stjepandić, & N. Wognum, IOS Press, 2017, no 3-4, p. 703-712Conference paper (Refereed)
    Abstract [en]

    For many companies, it is a challenge to balance product variety and cost, i.e. external and internal efficiency. Product platforms has been the dominant solution for a business targeting mass-customization. The main idea is to dived the product into modules that can be shared among different product variants. This has been a success on the consumer market, however, many manufacturing companies are engineer-to-order (ETO) oriented, such as original equipment suppliers (OES). They design a unique solution, often in close collaboration with other companies, based on different product concepts and/or core technologies. For these companies, there is a strategic need for a platform model influenced by the principles of masscustomization, although, not limited to only include modules. In this work, a novel platform model, called Design Platform is described. The model has been developed and applied in cooperation with four companies. The Design Platform provides a coherent environment for management of heterogeneous design assets to be used in product development and supports an improved ability to master fluctuating requirements and systematic introduction of new technologies.

  • 4.
    Elgh, Fredrik
    et al.
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    André, Samuel
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Stolt, Roland
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Design Platform: Setting the Scope and Introducing the Concept2016In: Proceedings of the DESIGN 2016 14th International Design Conference, Dubrovnik, May 16-19, 2016. / [ed] Marjanović, D., Štorga, M., Pavković, N., Bojčetić, N., Škec, S., The Design Society, 2016, p. 1253-1264Conference paper (Refereed)
    Abstract [en]

    Product platforms has been a successful enabler for efficient mass customization. However, they cannot fully support suppliers working in an engineer-to-order business environment. This work identifies the need and scope of a different platform model that supports customization and management of fluctuating requirements. A novel plaform model is introduced entitled Design Platform. The model is based on the current state and future target condition at four companies. The model provides a coherent environment for heterogeneous design assets to be used in product development.

  • 5.
    Elgh, Fredrik
    et al.
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Knowledge Object - a Concept for Task Modelling Supporting Design Automation2014In: Advances in Transdisciplinary Engineering: Moving Integrated Product Development to Service Clouds in the Global Economy / [ed] Jianzhong Cha, Shuo-Yan Chou, Josip Stjepandić, Richard Curran, Wensheng Xu, Amsterdam: IOS Press, 2014, p. 192-203Conference paper (Refereed)
    Abstract [en]

    The ability to design and manufacture highly customer adapted products brings a competitive edge to manufacturing companies acting on a business-to-business market as suppliers to OEMs. A vital means for success in quotation and order preparation is advanced system support in design, process planning and cost estimation based upon the automation of engineering tasks. A design automation system encapsulates these tasks which are to be executed for specific customer specifications in a sequence specified either by a predefined order or resolved by an inference mechanism in run-time. Commonly, the development of a design automation system is an iterative process alternating between a top-down and a bottom-up approaches. An overall strategy is a necessity for successful system development, however, to successfully define the tasks, retrace all the necessary knowledge and to close gaps in both the tasks and the knowledge definitions require a complete and detailed understanding of the specific domain. In this paper, the concept of Knowledge Object is described together with examples of its use in both the development and system realization of design automation systems enabling product customization. The concept has shown to be useful for modelling of design processes, tasks, and engineering knowledge as well as in system development and realization. It also supports traceability and understanding by relations to other concepts describing associated requirements and design rational.

  • 6.
    Elgh, Fredrik
    et al.
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Poorkiany, Morteza
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Stolt, Roland
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Raudberget, Dag
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Traceability of decisions in product realization processes of custom engineered products2018In: DS92: Proceedings of the DESIGN 2018 15th International Design Conference / [ed] Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N., The Design Society, 2018, p. 249-260Conference paper (Refereed)
    Abstract [en]

    Custom engineered products require an engineer-to-order approach in development, quotation preparation and order processing. This work reports the result of a three-and-a-half-year project were the objective was to develop means for implementation and management of computer support for engineering design and production engineering of customized products. Efficient re-use is essential for success and decision is identified as the core concept to trace tasks executed, knowledge used, design rationale and artefacts developed throughout the product realization process.

  • 7.
    Elgh, Fredrik
    et al.
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Stolt, Roland
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Lennartsson, Martin
    Jönköping University, School of Engineering, JTH, Civil Engineeering and Lighting Science.
    Heikkinen, Tim
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Raudberget, Dag
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Platform Models for Agile Customization – What's Beyond Modularization?2018In: Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0: Proceedings of the 25th ISPE Inc. International Conference on Transdisciplinary Engineering / [ed] Margherita Peruzzini, Marcello Pellicciari, Cees Bil, Josip Stjepandić, Nel Wognum, IOS Press, 2018, p. 371-380Conference paper (Refereed)
    Abstract [en]

    Many manufacturing companies are suppliers that deliver unique solutions to different business customers. Intense quotation work, with a high demand on accuracy and quick response, and development projects executed in close collaboration with customers and other actors characterize these companies. The projects can run for years or a few weeks depending on the business. Changes of requirements are frequent and technology development required for improved functionality, sustainability and competitiveness. The use of a product platform has been acknowledged as a strategic enabler for product family development and mass customization. However, companies struggle with adopting the common platform approach building upon pre-defined modules and components as it constraints the fulfilment of unique customer requirements and the introduction of new technology at high pace. This work reports the results from case studies conducted in collaboration with four companies. They are in many ways different but face the same challenges when it comes to customization, fluctuating requirements and need of high pace in technology advancement. The focus of this paper is on their initial states; including how they work with their product concept before the customer entry point, the work that is initiated when an order is accepted, the character of requirements and the adoption of product platforms. Criteria on, and identification of, new platforms models, termed Design Assets, are presented followed by a mapping to the Design Platform concept pointing out areas upcoming work, both scientifically and at the companies.

  • 8.
    Heikkinen, Tim
    et al.
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Assessment of Simulation Ready CAD Models in a Set Based Concurrent Engineering Context2016In: Proceedings of the DESIGN 2016 14th International Design Conference, Dubrovnik, May 16-19, 2016. / [ed] Marjanović, D., Štorga, M., Pavković, N., Bojčetić, N., Škec, S., The Design Society, 2016, p. 649-658Conference paper (Refereed)
    Abstract [en]

    Set-based concurrent engineering (SBCE) has been pointed out as a means of enabling customisation and easy adaptation to fluctuating requirements. A feature and script based automation method of Finite Element Analysis has been proposed and developed by [Johansson, 2014] to help support SBCE. This article presents an assessment of the purposed method with respect to its industrial need, scientific novelty, and further work required. Outcomes of which include a new CAD-model tagging technique, positive industrial feedback and further work suggestions.

  • 9.
    Heikkinen, Tim
    et al.
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Extended CAD-models – State of Practice within Three Companies2017In: IEEM2017, International Conference on Industrial Engineering and Engineering Management, 10-13 December, 2017, Singapore, IEEE, 2017, p. 1089-1093Conference paper (Refereed)
    Abstract [en]

    Product platforms and product family design have been recognized as successful methods to enable masscustomization strategies. However, companies working with products where pre-defined product variants are not feasible require a more generic platform with re-usable components as well as engineering resources. Extended CAD-models is an approach where CAD-models are utilized as carriers of information to support re-usability of both geometric content and engineering activities, decreasing product development lead-time and enabling the definition of a product family within Engineer-To-Order business contexts. The following paper presents the approach in more detail and the results of a multi-case study where three Swedish industrial companies were interviewed. Results show that all companies store information within the CAD-models to support re-usability. Several challenges were expressed such as managing responsibilities and modeling flexible CAD-models. Future trends involve the concept, but to which extent is not clear.

  • 10.
    Heikkinen, Tim
    et al.
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Extended design assets enabling automated tool development as a part of a product platform approach2018In: DS92: Proceedings of the DESIGN 2018 15th International Design Conference / [ed] Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N., The Design Society, 2018, p. 757-768Conference paper (Refereed)
    Abstract [en]

    Product platform development is a well-established approach for reusing product knowledge in the form of geometry and its configuration rules and constraints. Explicitly defining all platform components is not always possible however. This is why a product platform approach where the processes of realising platform components also are supported is needed, instead of exclusively relying on their results. The work presented here works toward this, with a focus on automated tool development enabled by extending design assets from different tools.

  • 11.
    Heikkinen, Tim
    et al.
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Multidisciplinary design automation – A conceptual framework for working with product model extensionsManuscript (preprint) (Other academic)
  • 12.
    Heikkinen, Tim
    et al.
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Review of CAD-model Capabilities and Restrictions for Multidisciplinary use2017In: Proceedings of CAD'17, CAD Solutions , 2017, p. 337-341Conference paper (Refereed)
    Abstract [en]

    Product development is an iterative process, partially due to changes in both company internal and external product requirements, resulting in changes to the product under development. These changes might require recapitulation of design rationale and result in re-doing assessments and syntheses of different kinds. One way to support this work is to proactively model in such a way that as much as possible of the previous work can be re-used. Modelling for re-use can be done by documenting design rationale and formalising performed activities as design guidelines or computer scripts. To be able to find and effectively re-use design activities, the added support could be attached to or otherwise linked to the product features they relate to. This paper focuses on the native CAD-models which also has been utilized by others as carriers of information for different purposes. For instance, describes the use of annotations on CAD-models, an example is presented where both FEM and CAM specifics were added to the geometry enabling automatic FEA and blank casting geometry creation. The approach was later used to support both constraint based redesign activities and encapsulation of in-development/in-service information for throughout product lifecycle retrieval. 

  • 13.
    Heikkinen, Tim
    et al.
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Review of CAD-model Capabilities and Restrictions for Multidisciplinary use2018In: Computer-Aided Design and Applications, ISSN 1686-4360, Vol. 15, no 4, p. 509-519Article in journal (Refereed)
    Abstract [en]

    Product development is an iterative process, partially due to changes in both company internal and external product requirements, resulting in changes to the product under development. These changes might require recapitulation of design rationale and result in re-doing assessments and syntheses of different kinds. One way to support this work is to proactively model in such a way that as much as possible of the previous work can be re-used. Not only within one product development project but also across and to future ones. Modelling for re-use can be done by documenting design rationale and formalising performed activities as design guidelines or computer scripts. To be able to find and re-use this information it could be attached to the product features which it relates to. Since geometry is such a core product characteristic, especially within the mechanical industry, and is often modelled as CAD-models, this paper presents a review of CAD-model capabilities and restrictions to serve as a carrier of multidisciplinary information. This is done by; enquiring three Swedish companies, exploring an automated Finite Element Analysis method utilising the CAD-model as a carrier of information, and reviewing different CAD software capabilities. Results show that there are at least seven extension techniques, out of which all are currently being used or considered to be in the future, by at least one company. Further, depending on the extension technique, extendibility and human-comprehension of the added information differ.

  • 14.
    Hjertberg, Tim
    et al.
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Stolt, Roland
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Poorkiany, Morteza
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Implementation and management of design systems for highly customized products – state of practice and future research2015In: Transdisciplinary lifecycle analysis of systems: Proceedings of the 22nd ISPE Inc. International Conference on Concurrent Engineering / [ed] Richard Curran, Nel Wognum, Milton Borsato, Josip Stjepandić, Wim J.C. Verhagen, IOS Press, 2015, p. 165-174Conference paper (Refereed)
    Abstract [en]

    Individualized products, resource-smart design and production, and afocus on customer value have been pointed out as three opportunities for Swedishindustry to stay competitive on a globalized market. All these three opportunitiescan be gained by efficient design and manufacture of highly customized products.However, this requires the development and integration of the knowledge-basedenabling technologies of the future as pointed out by The European Factories ofthe Future Research Association (EFFRA). Highly custom engineered productsrequire an exercising of a very rich and diverse knowledge base about the products,their production and the required resources for design and manufacture. Thedevelopment and implementation of systems for automated design and productionpreparation of customized products is a significant investment in time and money.However, our experience from industry indicates that significant efforts arerequired to introduce and align these kinds of systems with existing operations,legacy systems and overall state of practice. In this paper, support for systemdevelopment in literature has been reviewed in combination with a survey on thestate of practice in four companies regarding implementation and management ofautomated systems for custom engineered products. A gap has been identified anda set of areas for further research are outlined.

  • 15.
    Jansson, Johan
    et al.
    Jönköping University, School of Engineering, JTH, Materials and Manufacturing.
    Gustafsson, T.
    Jönköping University, School of Engineering.
    Salomonsson, Kent
    Jönköping University, School of Engineering, JTH, Materials and Manufacturing.
    Olofsson, Jakob
    Jönköping University, School of Engineering, JTH, Materials and Manufacturing.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Appelsved, P.
    Kongsberg Automotive AB, Mullsjö, Sweden.
    Palm, M.
    Husqvarna AB, Huskvarna, Sweden.
    An anisotropic non-linear material model for glass fibre reinforced plastics2018In: Composite structures, ISSN 0263-8223, E-ISSN 1879-1085, Vol. 195, p. 93-98Article in journal (Refereed)
    Abstract [en]

    This paper aims to present a methodology to predict the anisotropic and non-linear behaviour of glass fibre reinforced plastics using finite element methods. A material model is implemented in order to remedy the need of multiple material definitions, and to control the local plastic behaviour as a function of the fibre orientation. Injection moulding simulations traditionally provide second order orientation tensors, which are considered together with a homogenization scheme to compute local material properties. However, in the present study, fourth order tensors are used in combination with traditional methods to provide more accurate material properties. The elastic and plastic response of the material model is optimized to fit experimental test data, until simulations and experiments overlap. The proposed material model can support design engineers in making more informed decisions, allowing them to create smarter products without the need of excessive safety factors, leading to reduced component weight and environmental impact. 

  • 16.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    A Feature and Script Based Integration of CAD and FEA to Support Design of Variant Rich Products2014In: Computer-Aided Design and Applications, ISSN 1686-4360, Vol. 11, no 5, p. 552-559Article in journal (Refereed)
    Abstract [en]

    The focus of the research presented in this article has been an integration of a CAD-system and a FEA pre-processor to automatically develop a complete FEA-models in order to make simulation based design possible. The article presents a prototype system that was developed to automate the simulation of the behavior of ski-racks mounted on cars during collision. This type of simulations requires mesh models containing structured mesh, an issue solved in the presented system and that is presented in the article. It is also shown how to make it possible to introduce contacts, loads, constraints, and other FEM-properties based on CAD-geometry.

  • 17.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    A feature and script based integration of CAD and FEA to support design of variant rich products2013Conference paper (Refereed)
    Abstract [en]

    The focus of the research presented in this article has been an integration of a CAD-system and a FEA pre-processor to automatically develop a complete FEA-models in order to make simulation based design possible. The article presents a prototype system that was developed to automate the simulation of the behavior of ski-racks mounted on cars during collision. This type of simulations requires mesh models containing structured mesh, an issue solved in the presented system and that is presented in the article. It is also shown how to make it possible to introduce contacts, loads, constraints, and other FEM-properties based on CAD-geometry.

  • 18.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    A flexible design automation system for toolsets for the rotary draw bending of aluminium tubes2007In: 2007 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: 12th Design for Manufacturing and the Life Cycle Conference (DFMLC), 2007Conference paper (Refereed)
    Abstract [en]

    For parts suppliers in the manufacturing industry, the process of preliminary production preparation and the subsequent calculation of offers are critical business activities. A vital part of production preparation is the design of fixtures and tooling necessary for many processes of metal forming. In order for a company to give quick responses to customer enquiries or changes in prior specifications, it would be highly beneficial with a degree of automation in this design process. This implies the development of a computer based system able to capture existing design procedures and associated knowledge for the classes of tooling required for the forming process.

    In this work, an implementation for the rotary draw bending of aluminum tubing has been done to exemplify how to develop an automated design system. The system is based on heuristic knowledge developed over many years of practical experience, knowledge analytically derived from fundamental theory found in scientific literature, and rules based on empirical data from trial manufacturing. The system applies knowledge to a given specification that a skilled engineer otherwise would do manually. The system output can be used to evaluate whether a tube is producible.

    The main idea behind the system is to use knowledge objects containing information on inputs, outputs, constraints and what software are used to implement the knowledge pieces. This approach makes the system highly flexible and allows for multiple types of knowledge that might overlap. When an offering calculation is wanted, the system is set to run applicable knowledge objects for presented input data. Other objects are run when an accurate calculation for detailing is wanted for a more detailed set of input data. The system is built on readily available commercial software packages connected with a simple Visual Basic .Net program.

    When building a system of this kind, it is essential that the knowledge documentation and structure be such that the functions of the system can be easily understood by the users of the system and by future developers. Aspects of user friendliness, transparency and scalability are addressed in the summary of this paper.

  • 19.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Analysing Engineering Knowledge in CAD-models and Spread Sheets using Graph Theory and Filtering2017In: 24th ISPE International Conference on Transdisciplinary Engineering (TE2017): Transdisciplinary Engineering: A Paradigm Shift / [ed] C. H. Chen, A. C. Trappey, M. Peruzzini, J. Stjepandic, & N. Wognum, IOS Press, 2017, p. 629-638Conference paper (Refereed)
    Abstract [en]

    As the era of Knowledge Based Engineering (KBE) and design automation has evolved a big effort has been put to automate CAD-models to quick and accurately respond to changes of customer specifications. The automated knowledge in these KBE-systems is represented as sets of rules, sets that are continuously growing. Parallel to KBE-systems knowledge is also automated in spread sheets (were the cells can be viewed as rules in a KBE system).These spread sheets also tend to grow in number and complexity. The vision of reusing corporate knowledge through automating it in computer systems are now threaten by the fact that the complexity makes it hard to grasp and manage what was automated. Complexity management and graph theory are scientific fields addressing these types of problems. This paper describes how engineering knowledge stored in CAD-models and spread sheets can be analysed through the application of graph theory, visualization and filtering. Information models of CAD-models and spread sheets are developed and applied to a real industrial case to generate and analyse the content.

  • 20.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Automated Computer Systems for Manufacturability Analyses and Tooling Design: Applied to the Rotary Draw Bending Process2011Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Intensive competition on the global market puts great pressure on manufacturing companies to develop and produce products that meet requirements from customers and investors. One key factor in meeting these requirements is the efficiency of the product development and the production preparation processes. Design automation is a powerful tool to increase efficiency in these two processes.

    The benefits of automating the manufacturability analysis process, a part of the production preparation process, are shortened lead-time, improved product performance, quality assurance, and, ultimately, decreased costs. Further, automation is beneficial as it increases the ability to adapt products to new product specifications with production preparations done in a few or in a single step. During the automation process, knowledge about the manufacturability analysis process is collected and stored in central systems, thus allowing full control over the design of production equipments.

    Topics addressed in this thesis include the flexibility of design automation systems, knowledge-bases containing alternative design rules, the automation of the finite element analysis process, manufacturability analysis over several productions steps, and the determination of production limits by looping the automated manufacturability analysis process. These topics are discussed in connection with the rotary draw bending of aluminum profiles.

    It is concluded that the concept of design automation can be applied to the manufacturability analysis process at different levels of automation depending on the characteristics of the implemented knowledge. The concept of object orientation should be adapted when implementing a knowledge-base and when developing the geometrical representations of the products. This makes a design automation system flexible enough to edit underlying knowledge and to extend the targeted design space. It is possible to automate the process of setting up, running, and interpreting finite element analyses to a great extent, enabling the design automation system to evaluate its own design proposals. It is also possible to enable such systems to consider sequences of manufacturing steps and loop them to develop decision support guiding engineers early in the design process, saving time and money while still assuring high product quality.

  • 21.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Automated Manufacturability Analysis of the Draw Bending of Complex Aluminum Profiles2009In: ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE 2009), 2009Conference paper (Refereed)
    Abstract [en]

    Manufacturing companies are required to develop and produce products that meet increased requirements from customers and investors on shortened time spans. One key factor in meeting these requirements is the efficiency of the product development and the production preparation process. Design automation is a powerful tool to increase efficiency in these two processes. The benefits of automating the production preparation process are shortened lead-time, improved product performance, and ultimately decreased cost. Further, automation is beneficial as it increases the ability to adapt products to new product specifications with production preparations done in few or in a single step. During the automation process, knowledge about the production preparation process is collected and stored in the corporation systems, thus allowing full control over the design of production equipments.

    The contribution of this work is a method for connecting knowledge pieces implemented in auxiliary software applications using an inference engine. The knowledge pieces can control CAD-models and automatically generate, execute, and interpret finite element analyses. The presented method allows the automation of corporation know-how developed by skilled engineers over time. Further, it is possible for the resulting systems to meet criteria for good design automation systems such as low effort of developing, low level of investment, user readable and understandable knowledge, scalability, and flexibility.

    The method is exemplified by an implementation for analyzing manufacturability of the rotary draw bending of extruded sections of aluminum where the sections are complex. The output from the example system is based on established design practice and heuristic knowledge developed over many years of practical experience, rules analytically derived from fundamental physical laws, and finite element calculations. The system applies knowledge to a given specification that a skilled engineer otherwise would do manually. The method is described along with the example system in this paper.

  • 22.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Automatic Producibility Analysis of the Draw Bending of Aluminium Tubes with Several Bends2009In: NAFEMS World Congress 2009: The Analysis Advantage: Perspectives on Engineering Simulation for Today and Beyond, Glasgow: NAFEMS Ltd , 2009Conference paper (Refereed)
    Abstract [en]

    Increased pressure on manufacturing companies to develop and produce products that meet tightened requirements from customers and investors on shortened time spans require increased efficiency of the product development and the production preparation. Design automation is a powerful tool to increase the efficiency in these two processes.

    The benefits of automating the production preparation process are shortened led-time, improved product performance, and ultimately decreased cost. Further, automation is beneficial as it increases the ability to adapt products to new product specifications with production preparations done in few or in a single step. During the automation process, knowledge about the production preparation process is collected and stored in company systems, thus allowing full control over the design of production equipments.

    Finite element analyses (FEA) are often used to test product properties virtually. The process of setting up FEA is many times manual and not strictly formalized; the assumptions made in those calculations highly depend on the analysts’ former experiences and gut feeling. Sometimes there exist parametric FEA-models, but they are hard to interpret for others than the developers. It is beneficial to formalize and automate the process of developing such calculations in order to automate the production preparation of mature and variant-rich products where estimations and validations using FEA are demanded in the whole or parts of the design space. Automating the FEA-process for selected production methods makes the dedicated FEA-models more flexible and more transparent. It also makes them live longer and be more available for engineers that are not FEA-specialists. The FEA-specialists will have more time to solve general problems rather than focusing on instances of the product.

    This work deal with the automation of FEA-based producibility analysis of aluminium tubes with several bends, as is a part of the production preparation of many products. The method proposed includes the usage of a KBE-system that handles knowledge objects that connect to auxiliary software applications. This is done in order to generate a design synthesis based on product specifications, to develop a geometrical model of the synthesis in a CAD-system, to generate mesh parts in a CAD-system, to set up and run a FEM-calculation based on the generated mesh, and finally to extract required results from the calculation result files. The complete process of bending the tubes several times is automatically synthesised and analysed.

  • 23.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Combining Case Based Reasoning and Shape Matching Based on Clearance Analyzes to Support the Reuse of Components2012Conference paper (Refereed)
  • 24.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Design Automation Systems for Production Preparation: Applied on the Rotary Draw Bending Process2008Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    Intensive competition on the global market puts great pressure on manufacturing companies to develop and produce products that meet requirements from customers and investors. One key factor in meeting these requirements is the efficiency of the product development and the production preparation process. Design automation is a powerful tool to increase efficiency in these two processes.

    The benefits of automating the production preparation process are shortened led-time, improved product performance, and ultimately decreased cost. Further, automation is beneficial as it increases the ability to adapt products to new product specifications with production preparations done in few or in a single step. During the automation process, knowledge about the production preparation process is collected and stored in central systems, thus allowing full control over the design of production equipments.

    Three main topics are addressed in this thesis: the flexibility of design automation systems, knowledge bases containing conflicting rules, and the automation of the finite element analysis process. These three topics are discussed in connection with the production preparation process of rotary draw bending.

    One conclusion drawn from the research is that it is possible to apply the concept of design automation to the production preparation process at different levels of automation depending on characteristics of the implemented knowledge. In order to make design automation systems as flexible as possible, the concept of object orientation should be adapted when building the knowledge base and when building the products geometrical representations. It is possible to automate the process of setting up, running, and interpreting finite element analyses to a great extent and making the automated finite element analysis process a part of the global design automation system.

  • 25.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Exploring design content in cad-models and knowledge bases using graph theory and filtering2017In: Machine Dynamics Research, ISSN 2080-9948, Vol. 41, no 4, p. 5-15Article in journal (Refereed)
    Abstract [en]

    This paper focus on what types of relations exist within CAD-models and in KBE-systems connected to them. It describes how engineering knowledge stored in CAD-models and KBEsystems can be analysed through the application of graph theory, visualization and filtering. The paper is organised as follows: First the information models for CAD-models and KBEsystems are introduced and graph theory in connection with these information models is presented. The theory is then applied to a real case which is a CAD-model that was automated using a commercial KBE-system where the number of rules made it hard to engineers to grasp the model. By applying the concepts presented in this paper it was possible to identify critical design parameters and to inspect the logical model of the product.

  • 26.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Exploring design content in cad-models and knowledge bases using graph theory and filtering2017Conference paper (Refereed)
  • 27.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    How to Build Flexible Design Automation Systems for Manufacturability Analysis of the Draw Bending of Aluminum Profiles2011In: Journal of manufacturing science and engineering, ISSN 1087-1357, E-ISSN 1528-8935, Vol. 133, no 6Article in journal (Refereed)
    Abstract [en]

    Manufacturingcompanies continually need to develop and produce products faster, cheaper,and of better quality to meet requirements from customers andinvestors. One key factor in meeting these requirements is theefficiency of the product development and the production preparation processes.Design automation is a powerful tool for increasing the efficiencyof these two processes. The benefits of automating manufacturability analyses,a part of the production preparation process, are shortened leadtime, improved product performance, and ultimately decreased cost. Further, theautomation is beneficial as it increases the ability to adaptproducts to new specifications since production preparations are done infew or in a single step. Extruded sections of aluminum(aluminum profiles) have many advantages, especially for light weight structuralmembers, and are used in many products. Many times asecondary forming process, such as bending, is required when thesematerials are used. The intention of the work presented inthis article has been to investigate how to automate theprocess of finding manufacturing limits of the rotary draw bendingof aluminum profiles with focus on the system architecture neededto make such systems flexible. Finding the forming limits ofan aluminum profile is not a trivial task. This isbecause the limits depend not only on the profile shapebut also on the layout of the tool. Hence, simulationshave to be done to evaluate different designs. A prototypesystem was developed to explore what was needed to automatesimulation of the rotary draw bending of aluminum profiles, andsubsequently, analyze the simulated production outcome with respect to wrinklingand developed length.

  • 28.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design. Jönköping University, School of Engineering, JTH, Mechanical Engineering.
    Howtomation© Suite: A Novel Tool for Flexible Design Automation2015In: Transdisciplinary lifecycle analysis of systems: Proceedings of the 22nd ISPE Inc. International Conference on Concurrent Engineering, July 20–23, 2015 / [ed] Richard Curran, Nel Wognum, Milton Borsato, Josip Stjepandić, Wim J.C. Verhagen, IOS Press, 2015, p. 327-336Conference paper (Refereed)
    Abstract [en]

    This paper shows how to achieve flexibility in design automat systems through the introduction of knowledge objects and through the adoption of an oriented view of the product structure. To demonstrate the ideas a novel tool called Howtomation© Suite (for automated know-how) is presented. The new tool handles the addressed issues and has been successfully implemented at one company. That successful implementation is described at end of the paper.

  • 29.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Manufacturability Analysis Using Integrated KBE, CAD and FEM2008Conference paper (Refereed)
  • 30.
    Johansson, Joel
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    André, Samuel
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Simulation ready CAD-models as a means for knowledge transfer between technology development and product development2015In: Proceedings of the International Conference on Engineering Design, ICED, Vol 6: Design Methods And Tools - Pt 2 / [ed] Weber, C; Husung, S; Cantamessa, M; Cascini, G; Marjanovic, D; Graziosi, S, Glasgow, Scottland, UK: The Design Society, 2015, Vol. 6, p. 195-205Conference paper (Refereed)
    Abstract [en]

    Manufacturing companies tend to separate technology development (TD) from product development (PD) as has been devised by research within the field of innovation management. When a technology is ready it somehow has to be made available to the PD teams so that the engineers working in PD projects can adapt the new technology into new products. The question is how that work can be supported. The ultimate goal of the research presented in this paper is to develop methods and tools to assist the knowledge transfer between TD and PD with a focus on supporting the actual use of the new technology in PD. This paper presents an industrial case along with a proposed method to achieve this. The TD and PD processes in the case company were reviewed with focus on how simulation models evolve over time and how they are used for different purposes. It was discovered that simulation ready CAD-models can be used to transfer the output from TD to PD.

  • 31.
    Johansson, Joel
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Cederfeldt, Mikael
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Interactive Case Based Reasoning through Visual Representation: Supporting the Reuse of Components in variant-rich products2012In: Proceedings of DESIGN 2012, the 12th International Design Conference, Dubrovnik, Croatia / [ed] D. Marjanovic, M. Storga, N. Pavkovic & N. Bojcetic, The Design Society, 2012, p. 1477-1485Conference paper (Refereed)
  • 32.
    Johansson, Joel
    et al.
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Contero, M.
    Universitat Politècnicade València, Spain.
    Company, P.
    Universitat Jaume I, Spain.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Supporting connectivism in knowledge based engineering with graph theory, filtering techniques and model quality assurance2018In: Advanced Engineering Informatics, ISSN 1474-0346, E-ISSN 1873-5320, Vol. 38, p. 252-263Article in journal (Refereed)
    Abstract [en]

    Mass-customization has forced manufacturing companies to put significant efforts to digitize and automate their engineering and production processes. When new products are to be developed and introduced the production is not alone to be automated. The application of knowledge regarding how the product should be designed and produced based on customer requirements also must be automated. One big academic challenge is helping industry to make sure that the background knowledge of the automated engineering processes still can be understood by its stakeholders throughout the product life cycle. The research presented in this paper aims to build an infrastructure to support a connectivistic view on knowledge in knowledge based engineering. Fundamental concepts in connectivism include network formation and contextualization, which are here addressed by using graph theory together with information filtering techniques and quality assurance of CAD-models. The paper shows how engineering knowledge contained in spreadsheets, knowledge-bases and CAD-models can be penetrated and represented as filtered graphs to support a connectivistic working approach. Three software demonstrators developed to extract filtered graphs are presented and discussed in the paper.

  • 33.
    Johansson, Joel
    et al.
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Applying Connectivism to Engineering Knowledge to Support the Automated Business2017In: 24th ISPE International Conference on Transdisciplinary Engineering (TE2017): Transdisciplinary Engineering: A Paradigm Shift / [ed] C. H. Chen, A. C. Trappey, M. Peruzzini, J. Stjepandic, N. Wognum, IOS Press, 2017, p. 621-628Conference paper (Refereed)
    Abstract [en]

    Maintaining products in an automated business includes digitalization and automation of engineering knowledge. When new products are to be developed, and introduced not only has the production processes be automated but also the knowledge regarding how the product should be constituted depending on customer requirements. One big challenge that companies of this kind face is how to make sure that the knowledge automated still can be understood by its stakeholders during the development project and after product release and through the whole product life-cycle, which might last for decades. In this paper, we present a method to navigate and share vast amount of knowledge in businesses with high degree of automated engineering. The method is based on the connectivistic view of knowledge were network formation and filtering are two corner stones which implies the utilization of graph theory together with electronic publishing functionality.

  • 34.
    Johansson, Joel
    et al.
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Automated Design Assessment as a Strategic Part of Design Platforms2017In: 24th ISPE International Conference on Transdisciplinary Engineering (TE2017): Transdisciplinary Engineering: A Paradigm Shift / [ed] C. H. Chen, A. C. Trappey, M. Peruzzini, J. Stjepandic, N. Wognum, IOS Press, 2017, p. 441-448Conference paper (Refereed)
    Abstract [en]

    This paper presents a general model for businesses to work with their engineering assessments to challenge fluctuating requirements which is the result of a recently finished research project. The model is presented together with a case study of a company with a product that continuously is and must be adapted to a changing market to be alive at all. The company has developed a streamlined development process that is configured based on current needs from time to time. One keystone to make the mass customization possible to this company is the augmented synthesis and the automated assessment of the product variants rendered through the configured development process. The automated process of making the assessments and how it connects to the general model is also presented in the paper.

  • 35.
    Johansson, Joel
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    How to Successfully Implement Automated Engineering Design Systems: Reviewing Four Case Studies2013In: 20th ISPE International Conference on Concurrent Engineering / [ed] Cees Bil, John Mo, Josip Stjepandic, Amsterdam: IOS Press, 2013, p. 173-182Conference paper (Refereed)
  • 36.
    Johansson, Joel
    et al.
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Knowledge Objects Enable Mass-Individualization2017In: EUROGEN 2017 – BOOK of Extended Abstracts / [ed] Esther Andrés, Leo González, Jacques Periaux, Nicolas Gauger, Kyriakos Giannakoglou, Domenico Quagliarella, Madrid: Technical University of Madrid , 2017Conference paper (Refereed)
    Abstract [en]

    Mass customization and product individualization are driving factors behind design automation, which in turn are enabled through the digitalization of engineering work. The goal is to offer customers optimized solutions to their needs timely and with as high profit as possible. The path to achieve such a remarkable goal can be very winding and tricky for many companies, or even non-existing at the moment being. To succeed requires three essential parts: digitized product knowledge, facilities to automate the digitized product knowledge, and optimization algorithms. This paper shows how these three parts can be supported in engineer-to-order businesses through the concept of knowledge objects. Two case examples are also described in the paper.

  • 37.
    Johansson, Joel
    et al.
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Knowledge objects enable mass-individualization2019In: Evolutionary and Deterministic Methods for Design Optimization and Control With Applications to Industrial and Societal Problems. / [ed] Andrés-Pérez E., González L., Periaux J., Gauger N., Quagliarella D., Giannakoglou K., Cham: Springer , 2019, p. 371-386Chapter in book (Refereed)
    Abstract [en]

    Mass customization and product individualization are driving factors behind design automation, which in turn are enabled through the formalization and automation of engineering work. The goal is to offer customers optimized solutions to their needs timely and as profitable as possible. The path to achieve such a remarkable goal can be very winding and tricky for many companies, or even non-existing at the moment being. To succeed requires three essential parts: formally represented product knowledge, facilities to automatically apply the product knowledge, and optimization algorithms. This paper shows how these three parts can be supported in engineer-to-order businesses through the concept of knowledge objects. Knowledge Objects are human readable descriptions of formalized knowledge bundled with corresponding computer routines for the automation of that knowledge. One case example is given at the end of the paper to demonstrate the use of knowledge objects. © 2019, Springer International Publishing AG, part of Springer Nature.

  • 38.
    Johansson, Joel
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Three examples of how DSM enhances engineering design automation2013In: Proceedings of 15th International DSM Conference: Reducing Risk in Innovation, Carl Hanser Verlag GmbH, 2013, p. 3-10Conference paper (Refereed)
  • 39.
    Johansson, Joel
    et al.
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design. Jönköping University, School of Engineering, JTH, Mechanical Engineering.
    Poorkiany, Morteza
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Design Rationale Management – a Proposed Cloud Solution2014In: Advances in Transdisciplinary Engineering: Moving Integrated Product Development to Service Clouds in the Global Economy / [ed] Jianzhong Cha, Shuo-Yan Chou, Josip Stjepandić, Richard Curran, Wensheng Xu, Amsterdam: IOS Press, 2014, p. 204-214Conference paper (Refereed)
    Abstract [en]

    Due to increasing complexity of modern products it is many times impossible for single individual engineers to fully grasp the product they are a part of developing. Valuable time during the product development is therefore spent searching for knowledge about different aspect of the product. To enable engineers finding right knowledge in different situations, the knowledge must first of all exist. Secondly, it needs to be structured and thirdly, it needs to be accessible. In this paper all of these three aspects of design rationale (reasons for why the product is designed the way it is) are addressed with the main focus on the latter one, accessibility. An information model is presented that can be used to structure the design rationale. It also presents a schematic overview of how a cloud solution could be realized using the information model to make a complete system for instantly capturing, filtering and accessing design rationale in a contextual manner.

    To enable the instant and contextual capture, filtering and access of the design rationale, the design rationale management systems should be present to the engineers everywhere in the digital environment, ready for service. It should also include functions that make the design rationale shared to all privileged users making sure everyone has updated versions of the stored knowledge.

    In this work the main ideas of a method for instant and contextual capture, filtering and access of the design rationale are introduced and a pilot system described as a proof of concept. The pilot system can be used to capture, filter and access design rationale across and within text-documents, spread sheets and CAD-models.

  • 40.
    Johansson, Joel
    et al.
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Stolt, Roland
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Raudberget, Dag
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    An approach to capture engineering knowledge through visual evaluation of mass generated design proposals2016In: Proceedings of the DESIGN 2016 14th International Design Conference, Dubrovnik, May 16-19, 2016 / [ed] Marjanović, D., Štorga, M., Pavković, N., Bojčetić, N., Škec, S., The Design Society, 2016, p. 679-688Conference paper (Refereed)
  • 41.
    Johansson, Joel
    et al.
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Sunnersjö, Staffan
    Jönköping University, School of Engineering, JTH, Mechanical Engineering. Jönköping University, School of Engineering, JTH. Research area Computer Supported Engineering Design.
    Automated design of rotary draw bending tools: an approach based on generic CAD-models driven by heuristic and algorithmic knowledge2006In: International conference on efficient development of manufacturing machines and processes, 2006, Wroclaw, Poland, 2006Conference paper (Refereed)
    Abstract [en]

    For parts suppliers in the manufacturing industry the process of preliminary production preparation and subsequent calculation of offers are critical business activities. A vital part of production preparation is the design of fixtures and tooling necessary for many processes of metal forming. For a company to give quick responses to customer enquiries, or changes in prior specifications, it would be highly beneficial with a degree of automation in this design process. This implies the development of a computer based system able to capture existing design procedures and associated knowledge for the classes of tooling required for the forming process.

    In this work we exemplify an automated design system for tooling by an implementation for rotary draw bending of aluminium tubing. The system is based on established design practice and heuristic knowledge developed over many years of practical experience. The system will evaluate whether a given specification is producible with existing materials and equipment, select suitable machine, determine process parameters and determine type and dimensions of components of form die, clamp die, follower or pressure die, wiper and mandrel. The system is built on readily available commercial software packages. When building a system of this kind it is essential that the knowledge documentation and structure is such that the functions of the system can be easily understood by the users of the system and by future developers. Aspects of user friendliness, transparency and scalability are addressed in the summary of this paper.

  • 42.
    Olofsson, Jakob
    et al.
    Jönköping University, School of Engineering, JTH, Materials and Manufacturing.
    Cenni, Riccardo
    Imola, Italy.
    Cova, Matteo
    Imola, Italy.
    Bertuzzi, Giacomo
    Imola, Italy.
    Salomonsson, Kent
    Jönköping University, School of Engineering, JTH, Materials and Manufacturing.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Industrial Product Development, Production and Design.
    Multidisciplinary shape optimization of ductile iron castings by considering local microstructure and material behaviour2018In: Structural and multidisciplinary optimization (Print), ISSN 1615-147X, E-ISSN 1615-1488, Vol. 57, no 5, p. 1889-1903Article in journal (Refereed)
    Abstract [en]

    During the casting process and solidification of ductile iron castings, a heterogeneous microstructure is formed throughout the casting. This distribution is strongly influenced by the item geometry and the process related factors, as chemical composition and local solidification conditions. Geometrical changes to the geometry of the casting thus alters the local mechanical behavior and properties, as well as the distribution of stresses and strains when the casting is subjected to load. In order to find an optimal geometry, e.g. with reduced weight and increased load-bearing capacity, this interdependency between geometry and local material behavior needs to be considered and integrated into the optimization method. In this contribution, recent developments in the multidisciplinary integration of casting process simulation, solidification and microstructure modelling, microstructure-based material characterization, finite element structural analyses with local material behavior and structural optimization techniques are presented and discussed. The effect and relevance of considering the local material behavior in shape optimization of ductile iron castings is discussed and evidenced by an industrial application. It is shown that by adopting a multidisciplinary optimization approach by integration of casting simulation and local material behavior into shape optimization, the potential of the casting process to obtain components with high performance and reliability can be enabled and utilized. 

  • 43.
    Olofsson, Jakob
    et al.
    Jönköping University, School of Engineering, JTH, Materials and Manufacturing.
    Cenni, Riccardo
    Università degli Studi di Modena e Reggio Emilia, Italy.
    Cova, Matteo
    Università degli Studi di Modena e Reggio Emilia, Italy.
    Bertuzzi, Giacomo
    Zanardi Fonderie, Italy.
    Salomonsson, Kent
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Simulation and Optimization.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Multidisciplinary shape optimization of ductile iron castings byconsidering local microstructure and material behaviour2017In: WCSMO12, 12th World Congress of Structural and Multidisciplinary Optimisation: Book of Abstracts / [ed] Kai-Uwe Bletzinger, Sierk Fiebig, Kurt Maute, Axel Schumacher, Thomas Vietor, Technische Universität , 2017, p. 82-Conference paper (Refereed)
    Abstract [en]

    During the casting process and solidification of ductile iron castings, a heterogeneous microstructure is formed throughout the casting. This distribution is highly controlled by process related factors, as chemical composition, local solidification conditions, and the geometry of the casting. Geometrical changes to the geometry of the casting thus alters the local mechanical behaviour, as well as the distribution of stresses and strains when the casting is subjected to load. In order to find an optimal geometry, e.g. with reduced weight and increased load-bearing capacity, this interdependency between geometry and local material behaviour needs to be considered and integrated into the optimization method. In this contribution, recent developments in the multidisciplinary integration of casting process simulation, solidification and microstructure modelling, microstructure-based material characterization, Finite Element Analyses (FEA) with local material behaviour and structural optimization techniques are presented and discussed. The effect and relevance of considering the local material behaviour in shape optimization of ductile iron castings is discussed and evidenced by an industrial application. It is shown that by adopting a multidisciplinary optimization approach by integration of casting simulation and local material behaviour into shape optimization, the potential of the casting process to obtain components with high performance and reliability can be enabled and utilized.

  • 44.
    Olofsson, Jakob
    et al.
    Jönköping University, School of Engineering, JTH, Materials and Manufacturing. Jönköping University, School of Engineering, JTH. Research area Materials and manufacturing – Casting.
    Salomonsson, Kent
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Simulation and Optimization.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Amouzgar, Kaveh
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Simulation and Optimization. University of Skövde, Sweden.
    A methodology for microstructure-based structural optimization of cast and injection moulded parts using knowledge-based design automation2017In: Advances in Engineering Software, ISSN 0965-9978, E-ISSN 1873-5339, Vol. 109, p. 44-52Article in journal (Refereed)
    Abstract [en]

    The local material behaviour of cast metal and injection moulded parts is highly related to the geometrical design of the part as well as to a large number of process parameters. In order to use structural optimization methods to find the geometry that gives the best possible performance, both the geometry and the effect of the production process on the local material behaviour thus has to be considered.

    In this work, a multidisciplinary methodology to consider local microstructure-based material behaviour in optimizations of the design of engineering structures is presented. By adopting a knowledge-based industrial product realisation perspective combined with a previously presented simulation strategy for microstructure-based material behaviour in Finite Element Analyses (FEA), the methodology integrates Computer Aided Design (CAD), casting and injection moulding simulations, FEA, design automation and a multi-objective optimization scheme into a novel structural optimization method for cast metal and injection moulded polymeric parts. The different concepts and modules in the methodology are described, their implementation into a prototype software is outlined, and the application and relevance of the methodology is discussed.

  • 45.
    Pabolu, Venkata Krishna Rao
    et al.
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Stolt, Roland
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Flexible manufacturability analysis applied to the welding process to increase sustainability in engineer to order businesses2017In: International Journal of Agile Systems and Management (IJASM), ISSN 1741-9174, Vol. 10, no 3/4, p. 271-294Article in journal (Refereed)
    Abstract [en]

    This paper addresses the manufacturability of welded components for engineer to order businesses including manufacturing feasibility, approximate manufacturing cost, manufacturing difficulties along with the sustainability aspects. This is addressed by creating an evaluation system for integration in a multi-objective design analysis system in the early phases of product development of the jet engines components in an aerospace business. The work is focused on the weldability assessment based on available weld methods and the weld capabilities of the company. Several rules for analysing the weldability are proposed. To keep the knowledge transparent, traceable and updatable, it is managed by a novel software called Howtomation© Suite using a forward chaining inferencing engine. The proposed framework enables a weldability index and welding cost guide to be derived, helping the designers choose appropriate weld method in early design stages.

  • 46.
    Pabolu, Venkata Krishna Rao
    et al.
    Jönköping University, School of Engineering.
    Stolt, Roland
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design. Jönköping University, School of Engineering, JTH, Product Development.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design. Jönköping University, School of Engineering, JTH, Product Development.
    Manufacturability Analysis for Welding: A Case Study Using Howtomation© Suite2016In: Transdisciplinary Engineering: Crossing Boundaries / [ed] Milton Borsato, Nel Wognum, Margherita Peruzzini, Josip Stjepandić and Wim J.C. Verhagen, IOS Press, 2016, p. 695-704Conference paper (Refereed)
    Abstract [en]

    This paper is a summary of master thesis written in the fall of 2015 in the department of Product Development in Jonkoping University in Sweden as a part of a research project with focus on the implementation and management of systems for design automation and design for manufacturing. It includes an implementation with the aim of enhancing a system currently in operation at an aerospace supplier. The system is used for multi-objective design analysis in the early phases of product development. The analysis involves both the performance of the jet engines components as well as their manufacturability. The work is focused on the weldability assessment, based on available weld methods and the weld capabilities of the company. A number of rules for analysing the weldability are proposed. To keep this knowledge transparent, traceable and updatable it is managed by a novel software called Howtomation© Suite which is a forward chaining inferencing engine. The proposed framework enables a weldability index and welding cost guide to be derived, helping the designers choose appropriate weld method in early design stages.

  • 47.
    Poorkiany, Morteza
    et al.
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    A Case Study on Implementing Design Automation: Identified Issues and Solution for Documentation2013In: 20th ISPE International Conference on Concurrent Engineering / [ed] Cees Bil, John Mo, Josip Stjepandić, Amsterdam: IOS Press, 2013, p. 324-332Conference paper (Refereed)
    Abstract [en]

    Computer supported engineering design systems are used as support for designers by automating some tasks/activities of design process. From industrial aspect, implementation of a developed prototype system is a critical task. User acceptance is of high importance and strongly related to the access and understanding of the knowledge which requires a high level of system transparency. In addition, integration of the system in the environment or its compatibility with other systems/tools should be considered. Our experiences in industry show that two major issues are usually raised up during implementing a design automation system which are: documentation and organization. Documentation concerns the way of capturing, storing and distributing the information in systems, and organization concerns alignment of the system with other systems or tools as well as communication and collaboration among system participants and users. The focus of this paper is on documentation and the importance of reuse, design rationale and traceability is discussed. In order to align closely with industry practices, the thoughts are presented along with an on-going case study, where the development and analysis of roof racks for cars are being automated, and a number of challenges have been discussed. 

  • 48.
    Poorkiany, Morteza
    et al.
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    An explorative study on management and maintenance of systems for design and manufacture of customized products2016In: The 2016 IEEE International Conference on Industrial Engineering and Engineering Management / [ed] Kadarsah SURYADI, Budi HARTONO, T.M.A. ARI SAMADHI,Nan CHEN, Min XIE, IEEE, 2016Conference paper (Refereed)
    Abstract [en]

    This paper addresses the issues regarding retrieve, reuse and update of design information in context of customized products and adaptive design. Capturing and representing design rationale during the development process has been identified as an important factor to support design of product variants. The study explores the development process from identifying customer requirements to production preparation in a case company which has long tradition in automating generation of design variants.  

  • 49.
    Poorkiany, Morteza
    et al.
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH, Product Development. Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Capture, structure and share design rationale in a design family development processManuscript (preprint) (Other academic)
  • 50.
    Poorkiany, Morteza
    et al.
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Johansson, Joel
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Elgh, Fredrik
    Jönköping University, School of Engineering, JTH. Research area Product Development - Computer supported engineering design.
    Capturing, structuring, and accessing design rationale across product design and FEA2016In: Product lifecycle management in the era of Internet of things: 12th IFIP WG 5.1 International Conference, PLM 2015, Doha, Qatar, October 19-21, 2015, revised selected papers / [ed] A. Bouras, B. Eynard, S. Foufou, K-D. Thoben, 2016, p. 387-396Conference paper (Refereed)
    Abstract [en]

    Implementing design automation systems to automate repetitive and time consuming design tasks enables engineer-to-order manufacturers to perform custom engineering in minimum time. To maintain a design automation system, regular updating of design information and knowledge is necessary. Consequently, there is a need of principles and methods to support capturing and structuring associated knowledge, specially, design rationale. In this paper a method for capturing, structuring, and accessing to design rationale in order to support maintenance of design automation systems is presented. The method is tested through a design automation system that develops FEA (finite element analysis) models automatically. The results are evaluated in a case company which is a supplier to the automotive industry serving many brands and car models which each more or less requires a unique solution.

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